Triple
T3668176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sopot |
E77811
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
SKS Sopot
SKS Sopot is a sports club based in the coastal city of Sopot, Poland, known for organizing and supporting local athletic activities and teams.
|
E77811
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SKS Sopot | Statement: [Sopot, hasSportsClub, SKS Sopot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKS Sopot Context triple: [Sopot, hasSportsClub, SKS Sopot]
-
A.
Sopot
Sopot is a Polish Baltic Sea resort city famous for its sandy beaches, long wooden pier, and vibrant spa and nightlife culture.
-
B.
Sopot
Sopot is a suburban municipality of Belgrade, Serbia, known for its rural character and proximity to the Avala and Kosmaj mountains.
-
C.
Piła
Piła is a city in northwestern Poland known as a regional economic and transport center in the Greater Poland Voivodeship.
-
D.
Maków Podhalański
Maków Podhalański is a small town in southern Poland, situated in the Lesser Poland Voivodeship and known as a local center in the mountainous Beskid region.
-
E.
Skierniewice (Poland)
Skierniewice is a city in central Poland known for its horticultural research center, annual Skierniewice Fruit and Vegetable Festival, and location between Warsaw and Łódź.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SKS Sopot Triple: [Sopot, hasSportsClub, SKS Sopot]
Generated description
SKS Sopot is a sports club based in the coastal city of Sopot, Poland, known for organizing and supporting local athletic activities and teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKS Sopot Target entity description: SKS Sopot is a sports club based in the coastal city of Sopot, Poland, known for organizing and supporting local athletic activities and teams.
-
A.
Sopot
chosen
Sopot is a Polish Baltic Sea resort city famous for its sandy beaches, long wooden pier, and vibrant spa and nightlife culture.
-
B.
Sopot
Sopot is a suburban municipality of Belgrade, Serbia, known for its rural character and proximity to the Avala and Kosmaj mountains.
-
C.
Piła
Piła is a city in northwestern Poland known as a regional economic and transport center in the Greater Poland Voivodeship.
-
D.
Maków Podhalański
Maków Podhalański is a small town in southern Poland, situated in the Lesser Poland Voivodeship and known as a local center in the mountainous Beskid region.
-
E.
Skierniewice (Poland)
Skierniewice is a city in central Poland known for its horticultural research center, annual Skierniewice Fruit and Vegetable Festival, and location between Warsaw and Łódź.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42997d88190bc765559bd7645fc |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4884e36108190a19887e81921fe32 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48aa728fc8190b1a4e4d6d466efb5 |
completed | March 13, 2026, 10:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4aefb58448190b7d34343a5dbb0f6 |
completed | March 14, 2026, 12:42 a.m. |
Created at: March 8, 2026, 3:25 p.m.